HEAL DSpace

An open and scalable learning infrastructure for food safety

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dc.contributor.author Manouselis, N en
dc.contributor.author Thanopoulos, C en
dc.contributor.author Vignare, K en
dc.contributor.author Geith, C en
dc.date.accessioned 2014-06-06T06:52:17Z
dc.date.available 2014-06-06T06:52:17Z
dc.date.issued 2013 en
dc.identifier.issn 19395256 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/5944
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84881060325&partnerID=40&md5=c03b41819df3c7b6a8d3c5847db0639e en
dc.subject Agriculture en
dc.subject Competencies en
dc.subject Discoverability en
dc.subject Food safety en
dc.subject Food Safety Knowledge Network (FSKN) en
dc.subject Information communications technology en
dc.subject Massive Open Online Courses (MOOCs) en
dc.subject Metadata en
dc.subject Online learning en
dc.subject Open content en
dc.subject Open educational resources (OER) en
dc.subject OpenCourseWare (OCW) en
dc.subject Search en
dc.title An open and scalable learning infrastructure for food safety en
heal.type journalArticle en
heal.publicationDate 2013 en
heal.abstract In the last several years, a variety of approaches and tools have been developed for giving access to open educational resources (OER) related to food safety, security, and food standards, as well to various targeted audiences (e.g., farmers, agronomists). The aim of this paper is to present a technology infrastructure currently in demonstration mode at Michigan State University that will collect various agricultural education content (training descriptions, open educational content, competencies, and standards) and provide them through various interfaces, based on the needs of the targeted audience. The overall architecture of the infrastructure for the food safety sector and the needed components are presented, as well as the main usage scenarios that explain how the infrastructure can enhance existing platforms and services in the area of food safety and food security. en
heal.journalName Journal of Asynchronous Learning Network en
dc.identifier.issue 2 en
dc.identifier.volume 17 en
dc.identifier.spage 119 en
dc.identifier.epage 132 en


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